Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Luigi Brochard"'
Autor:
Luigi Brochard
Publikováno v:
Ressources énergétiques et stockage.
Cet article traite de la consommation energetique des data centers. Il en explique les causes et presente de nombreuses solutions techniques pour la reduire : controle de la consommation des serveurs, refroidissement gratuit, refroidissement a eau, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::214cd39b22db4875dffd75368122eef0
https://doi.org/10.51257/a-v1-be6003
https://doi.org/10.51257/a-v1-be6003
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
CLUSTER
Universitat Politècnica de Catalunya (UPC)
CLUSTER
EAR is an energy management framework which offers three main services: energy accounting, energy control, and energy optimization. The latter is done through the EAR runtime library (EARL). EARL is a dynamic, transparent, and lightweight runtime lib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c2f2a5069863043441824092f69ed92
https://hdl.handle.net/2117/338290
https://hdl.handle.net/2117/338290
Data centers consume roughly 1% of the total electricity demand, while ICT as a whole consumes around 10%. Demand is growing exponentially and, left unchecked, will grow to an estimated increase of 20% or more by 2030. This book covers the energy con
Publikováno v:
2016 4th International Workshop on Energy Efficient Supercomputing (E2SC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e1b0da677e1205159633dcaff292169
https://doi.org/10.1109/e2sc.2016.014
https://doi.org/10.1109/e2sc.2016.014
Publikováno v:
Computer Science - Research and Development. 25:135-140
Power consumption is a critical consideration in high performance computing systems and it is becoming the limiting factor to build and operate Petascale and Exascale systems. When studying the power consumption of existing systems running HPC worklo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6fc378285bbb3d474e0c2201bdb6009
https://doi.org/10.1007/s00450-010-0123-3
https://doi.org/10.1007/s00450-010-0123-3
Autor:
Luigi Brochard
Publikováno v:
Informatik-Spektrum. 29:191-200
High Performance Computing (HPC) was born in the mid 70’s with the emergence of vector supercomputers. It has then evolved according to technology and business enlarging progressively its scope of application. In this paper, we describe the fundame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8bdf76affa235a715ab91eaceffe334
https://doi.org/10.1007/s00287-006-0075-y
https://doi.org/10.1007/s00287-006-0075-y
Autor:
Nicolay Hammer, Luigi Brochard, Arndt Bode, Torsten Wilde, Herbert Huber, Raj Panda, Francois Thomas, Matthias Brehm, Axel Auweter
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319075174
ISC
ISC
In this paper, we analyze the functionalities for energy aware scheduling of the IBM LoadLeveler resource management system on SuperMUC, one of the world's fastest HPC systems. We explain how LoadLeveler predicts execution times and the average power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45a1b634d9c62b5860d89ddc1ec13a4
https://doi.org/10.1007/978-3-319-07518-1_25
https://doi.org/10.1007/978-3-319-07518-1_25
Autor:
Luigi Brochard
Publikováno v:
Computers & Chemical Engineering. 22:S1085-S1088
What perspectives for engineering computing? With the advances in silicon technology, Teraflops systems made of off-the-shelf microprocessors will be mainstream. The bigger challenge will arise for the management of the data those system will produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a5aa92b3dd5b2d4f0f8920e637fbbb1
https://doi.org/10.1016/s0098-1354(98)00214-2
https://doi.org/10.1016/s0098-1354(98)00214-2
Publikováno v:
ICPE
Power consumption is a critical consideration in high computing systems. We propose a novel job scheduler that optimizes power and energy consumed by clusters when running parallel benchmarks with minimal impact on performance. We construct accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::757000ee7ff3d5a494a3f09404f9d4ce
https://doi.org/10.1145/1958746.1958780
https://doi.org/10.1145/1958746.1958780